- [Voiceover] Many different roles are involved…in data science,…and each of these roles brings different critical skills…and insights to the process.…We can begin with the engineers and the developers.…These are people who focus on the hardware,…and the software to support the data science.…It's the backend that makes data science work possible.…This includes titles like,…data engineers and developers,…and database administrators.…Next, there are big data specialists.…
These are people with heavy computer science…and mathematics backgrounds who engage,…for instance, in a lot of machine learning,…after that are researchers.…Now, these are people who focus on domain-specific research,…and these people often have much more expertise…in the statistical element of data science,…and less of an emphasis on the backend,…on the hardware,…or the computer science part of it.…Next, are analysts.…Now, these are people who focus on day-to-day data tasks,…that can include things like web analytics,…or working with a SQL database,…
- Assess the skills required for a career in data science.
- Evaluate different sources of data, including metrics and APIs.
- Explore data through graphs and statistics.
- Discover how data scientists use programming languages such as R, Python, and SQL.
- Assess the role of mathematics, such as algebra, in data science.
- Assess the role of applied statistics, such as confidence intervals, in data science.
- Assess the role of machine learning, such as artificial neural networks, in data science.
- Define the components of effective data visualization.
Skill Level Beginner
1. What Is Data Science?
2. Fields of Study
Ethical issues2m 39s
4. Data Sources
5. Data Exploration
8. Applied Statistics
9. Machine Learning
Next steps2m 17s
- Mark as unwatched
- Mark all as unwatched
Are you sure you want to mark all the videos in this course as unwatched?
This will not affect your course history, your reports, or your certificates of completion for this course.Cancel
Take notes with your new membership!
Type in the entry box, then click Enter to save your note.
1:30Press on any video thumbnail to jump immediately to the timecode shown.
Notes are saved with you account but can also be exported as plain text, MS Word, PDF, Google Doc, or Evernote.